Find Argument Statistics (Image Analyst)

Available with Image Analyst license.

Summary

Extracts the dimension value or band index at which a given statistic is attained for each pixel in a multidimensional or multiband raster.

Usage

• Use the Find Argument Statistics tool to extract the dimension value (for example, the date, height, or depth) at which a specific statistic is reached in the stack of rasters in a multidimensional raster dataset. Alternatively, find the band number at which the statistic is reached in a multiband raster.

  For example, you may want to know the month in which each pixel reached the highest sea surface temperature over 30 years of data collection. Another example is you have an eight-band remote sensing image and you want to know the band in which the minimum reflectance value was reached for each pixel.

• Supported multidimensional raster datasets include Cloud Raster Format (CRF), multidimensional mosaic datasets, or multidimensional raster layers generated by netCDF, GRIB, or HDF files.

• This tool produces a multidimensional raster dataset in Cloud Raster Format (CRF). Currently, no other output formats are supported.

• If the input multidimensional raster contains only one dimension, the output will be a single-band raster dataset. If the input multidimensional raster contains multiple dimensions, the output multidimensional raster will include those dimensions that were not included in the analysis.

Parameters

Dialog

Label	Explanation	Data Type
Input Multidimensional or Multiband Raster	The input multidimensional or multiband raster to be analyzed.	Raster Dataset; Raster Layer; Mosaic Dataset; Mosaic Layer; Image Service; File
Dimension (Optional)	The dimension from which the statistic will be extracted. If the input raster is not a multidimensional raster, this parameter is not required.	String
Dimension Definition (Optional)	Specifies how the statistic will be extracted from the dimension. All—The statistic will be extracted across all dimensions. This is the default. Interval Keyword—The statistic will be extracted from the time dimension according to the interval keyword.	String
Keyword Interval (Optional)	The unit of time for which the statistic will be extracted. For example, you have five years of daily sea surface temperature data and you want to know the year in which the maximum temperature was observed. Set Statisitcs Type to Argument of the maximum, set Dimension Definition to Interval Keyword, and set Keyword Interval to Yearly. Alternatively, if you want to know the month in which the maximum temperature was consistently observed, set Statistics Type to Argument of the maximum, setDimension Definition to Interval Keyword, and set Keyword Interval to Recurring Monthly. This will generate a raster in which each pixel contains the month in which the statistic was reached across the five-year record (08/18/2018, 08/25/2016, 08/07/2013, for example). This parameter is required when the Dimension parameter is set to StdTime and the Dimension Definition parameter is set to Interval Keyword. Recurring Daily—The statistic will be extracted across days. Recurring Weekly—The statistic will be extracted across weeks. Recurring Monthly—The statistic will be extracted across months. Recurring Quarterly—The statistic will be extracted across quarters. Hourly—The statistic will be extracted for the hour in which the statistic was reached. Daily—The statistic will be extracted for the day in which the statistic was reached. Weekly—The statistic will be extracted for the week in which the statistic was reached. Monthly—The statistic will be extracted for the month in which the statistic was reached. Quarterly—The statistic will be extracted for the quarter in which the statistic was reached. Yearly—The statistic will be extracted for the year in which the statistic was reached.	String
Variables [Dimension Info] (Description) (Optional)	The variable or variables to be analyzed. If the input raster is not multidimensional, the pixel values of the multiband raster are considered the variable. If the input raster is multidimensional and no variable is specified, all variables with the selected dimension will be analyzed. For example, to find the years in which temperature values were highest, specify temperature as the variable to be analyzed. If you do not specify any variables and you have both temperature and precipitation variables, both variables will be analyzed, and the output multidimensional raster will include both variables.	String
Statistics Type (Optional)	Specifies the statistic to extract from the variable or variables along the given dimension. Argument of the minimum—The dimension value at which the minimum variable value is reached will be extracted. This is the default. Argument of the maximum—The dimension value at which the maximum variable value is reached will be extracted. Argument of the median—The dimension value at which the median variable value is reached will be extracted. Duration—The longest dimension duration value between the minimum and maximum variable values will be extracted.	String
Minimum Value (Optional)	The minimum variable value to be used to extract the duration. This parameter is required when the Statistics Type parameter is set to Duration.	Double
Maximum Value (Optional)	The maximum variable value to be used to extract the duration. This parameter is required when the Statistics Type parameter is set to Duration.	Double
Multiple Occurrence Value (Optional)	The pixel value to use to indicate that a given argument statistic was reached more than once in the input raster dataset. If not specified, the pixel value will be the value of the dimension the first time the argument statistic is reached.	Long
Ignore NoData (Optional)	Specifies whether NoData values are ignored in the analysis. Checked—The analysis will include all valid pixels along a given dimension and ignore any NoData pixels. This is the default. Unchecked—The analysis will result in NoData if there are any NoData values for the pixels along the given dimension.	Boolean

Return Value

Label	Explanation	Data Type
Output Raster	The output raster dataset.	Raster

Python

FindArgumentStatistics(in_raster, {dimension}, {dimension_def}, {interval_keyword}, {variables}, {statistics_type}, {min}, {max}, {multiple_occurrence}, {ignore_nodata})

Name	Explanation	Data Type
in_raster	The input multidimensional or multiband raster to be analyzed.	Raster Dataset; Raster Layer; Mosaic Dataset; Mosaic Layer; Image Service; File
dimension (Optional)	The dimension from which the statistic will be extracted. If the input raster is not a multidimensional raster, this parameter is not required.	String
dimension_def (Optional)	Specifies how the statistic will be extracted from the dimension. ALL—The statistic will be extracted across all dimensions. This is the default. INTERVAL_KEYWORD—The statistic will be extracted from the time dimension according to the interval keyword.	String
interval_keyword (Optional)	The unit of time for which the statistic will be extracted. For example, you have five years of daily sea surface temperature data and you want to know the year in which the maximum temperature was observed. Set Statisitcs Type to Argument of the maximum, set Dimension Definition to Interval Keyword, and set Keyword Interval to Yearly. Alternatively, if you want to know the month in which the maximum temperature was consistently observed, set Statistics Type to Argument of the maximum, setDimension Definition to Interval Keyword, and set Keyword Interval to Recurring Monthly. This will generate a raster in which each pixel contains the month in which the statistic was reached across the five-year record (08/18/2018, 08/25/2016, 08/07/2013, for example). This parameter is required when the dimension parameter is set to StdTime and the dimension_def parameter is set to INTERVAL_KEYWORD. RECURRING_DAILY—The statistic will be extracted across days. RECURRING_WEEKLY—The statistic will be extracted across weeks. RECURRING_MONTHLY—The statistic will be extracted across months. RECURRING_QUARTERLY—The statistic will be extracted across quarters. HOURLY—The statistic will be extracted for the hour in which the statistic was reached. DAILY—The statistic will be extracted for the day in which the statistic was reached. WEEKLY—The statistic will be extracted for the week in which the statistic was reached. MONTHLY—The statistic will be extracted for the month in which the statistic was reached. QUARTERLY—The statistic will be extracted for the quarter in which the statistic was reached. YEARLY—The statistic will be extracted for the year in which the statistic was reached.	String
variables [variables,...] (Optional)	The variable or variables to be analyzed. If the input raster is not multidimensional, the pixel values of the multiband raster are considered the variable. If the input raster is multidimensional and no variable is specified, all variables with the selected dimension will be analyzed. For example, to find the years in which temperature values were highest, specify temperature as the variable to be analyzed. If you do not specify any variables and you have both temperature and precipitation variables, both variables will be analyzed, and the output multidimensional raster will include both variables.	String
statistics_type (Optional)	Specifies the statistic to extract from the variable or variables along the given dimension. ARGUMENT_MIN—The dimension value at which the minimum variable value is reached will be extracted. This is the default. ARGUMENT_MAX—The dimension value at which the maximum variable value is reached will be extracted. ARGUMENT_MEDIAN—The dimension value at which the median variable value is reached will be extracted. DURATION—The longest dimension duration value between the minimum and maximum variable values will be extracted.	String
min (Optional)	The minimum variable value to be used to extract the duration. This parameter is required when the statistics_type parameter is set to DURATION.	Double
max (Optional)	The maximum variable value to be used to extract the duration. This parameter is required when the statistics_type parameter is set to DURATION.	Double
multiple_occurrence (Optional)	The pixel value to use to indicate that a given argument statistic was reached more than once in the input raster dataset. If not specified, the pixel value will be the value of the dimension the first time the argument statistic is reached.	Long
ignore_nodata (Optional)	Specifies whether NoData values are ignored in the analysis. DATA—The analysis will include all valid pixels along a given dimension and ignore any NoData pixels. This is the default. NODATA—The analysis will result in NoData if there are any NoData values for the pixels along the given dimension.	Boolean

Return Value

Name	Explanation	Data Type
out_raster	The output raster dataset.	Raster

Code sample

FindArgumentStatistics example 1 (Python window)

This example finds the minimum monthly precipitation and temperature values across a time series multidimensional raster. If the same minimum value is found multiple times, the pixel value will be 99999.

# Import system modules
import arcpy
from arcpy.ia import *

# Check out the ArcGIS Image Analyst extension license
arcpy.CheckOutExtension("ImageAnalyst")

# get the date when the minimal precipitation was observed in each year
# as well as the date when the minimal temperature was observed in each year
argStatOutput = FindArgumentStatistics("prcp_temp_time_series.crf", "StdTime", "INTERVAL_KEYWORD", "YEARLY",
	"prcp;temp", "ARGUMENT_MIN", None, None, 0, "DATA")
	
# Save output
argStatOutput.save("C:/data/yearly_min_temp_precip.crf")

FindArgumentStatistics example 2 (stand-alone script)

This example finds the longest time interval for which salinity fell between 10 and 15 units of measurement in the multidimensional raster.

# Import system modules
import arcpy
from arcpy.ia import *

# Check out the ArcGIS Image Analyst extension license
arcpy.CheckOutExtension("ImageAnalyst")

# Define input parameters
inFile = "C:/data/salinity.crf"
dimensionName = "Time"
dimensiondef = "ALL"
intervalkeyword = ''
variables = "temp"
arg_statistics_type = "DURATION"
min_value = 20
max_value = 25
multiple_occurrances_value = None
ignore_nodata = "NODATA"

# Execute 
# get the number of continous slices that have temperature value between 20 and 25
argStatOutput = FindArgumentStatistics(inFile, dimensionName, dimensiondef, intervalkeyword,
	variables, arg_statistics_type, min_value, max_value, multiple_occurrances_value, ignore_nodata)
	
# Save output
argStatOutput.save("C:/data/arg_statistics_output2.crf")

Environments

Cell Size, Compression, Current Workspace, Geographic Transformations, NoData, Output CONFIG Keyword, Output Coordinate System, Extent, Parallel Processing Factor, Pyramid, Raster Statistics, Resampling Method, Scratch Workspace, Snap Raster, Tile Size

Licensing information

• Basic: Requires Image Analyst
• Standard: Requires Image Analyst
• Advanced: Requires Image Analyst